Multiphysics Modeling of Gas Plasma-Based Wound Healing Process Y. Sakiyama1, M. Orazov1, D. B. Graves1, and G. E. Morfill2 1 Department of Chemical and Biomolecular Engineering, University of California, Berkeley, USA 2 Max Planck Institute for Extraterrestrial Physics, Garching, Germany contact: [email protected] and [email protected]

BACKGROUND

Two Different Bactericidal Effects short-term[5] long-term[4]

Wound healing is one of the promising applications of atmospheric pressure gas plasmas in medicine. Recent clinical studies show a significant reduction of bacterial load in treated wounds without any side-effects. [1]. Plasma-generated reactive oxygen/nitrogen species (RONS) are thought to be directly or indirectly responsible for the bacterial elimination. Previous experimental results suggest that those reactive species have both instantaneous and long-term bactericidal effect. [2-5] In order to investigate the short- and long-term antimicrobial effect on wound healing, we adapted a five species mechano-chemical model of epithelial wound healing. [6] Our preliminary simulation result [7] shows that the prolonged effect of plasmas is important and that the initial reduction in the bacterial population may not be sufficient for improved healing.

MODEL DESCRIPTION Governing Equations • 6-species PDEs

plasma-generated RONS

• Oxygen: c

• 1-D Cartesian coordinates

healed tissue

wounded tissue

• modified parameters • additional terms for plasma treatment

 k1  c c  ( Dc c)     k4bc  k5b Pn  k2 e  t  1  kb e  k3  c

k8 H (c  cL ) H (cH  c ) a  (  Da a )   k6 ab  k7 a  t 1 e

• Capillary tips: n

• Blood vessels: b

oxygen

 n en b  a  k13b(k14e  k15 f  b) 2 2 t (1  e )(1  a )

   n en n  ( Dnn)   a   a (k9b  k10 n)  n(k11n  k12b) 2 2 t  (1  e )(1  a ) 

chemotaxis

Reaction Pathways in the Model chemoattractants

production

consumption by bacteria

bacterial load

bacteria

• Chemoattractants : a

plasma treatment

capillary tips

blood vessels

fibroblasts

ECM

production by capillary tips

• Fibroblasts: f

• Extracellular matrix (ECM): e

  f f  k16 fc k17 f 2 f  ( D f f )   a    2 t  (1  a )  1  c (1  c)(1  e)

e  k18 f c(k19 c  e) t deposition

chemotaxis

SIMULATION RESULTS Bactericidal Effects of Plasmas

Initial condition

RPn1 exp(k p t )

0.6 0.4

0.0 0.0

0.5

1.0

1.5 2.0 time [d]

0.4

0.5

1.0 1.5 2.0 time [week]

2.0 1.5 1.0 0.5

3.0

chemoattractants oxygen capillary tips blood vessels fibroblasts ECM

Plasma-treated

2.5

2.5

0.5 0.5

1.0 position [cm]

2.0 1.5

1.5

2.0

Contribution of long/short-term effect chemoattractants oxygen capillary tips blood vessels fibroblasts ECM

0.0 3.0

plasma-treated

1.0

3.0

Untreated

[-] 0.0 0.0

2.5

[-] normalized variables

0.6

normalized variables

fraction of wounded tissue

untreated

1.5

chemoattractants oxygen capillary tips blood vessels fibroblasts ECM

healed tissue

wounded tissue

Chronic Wound Healing After 3 weeks 2.5

0.8

2.0

0.0 0.0

3.0

1.0

0.2

2.5

0.2

1  RPn1{exp(k p t )  1}

Fraction of wounded tissue

short-term

long-term

(fast healing) 1

4

Initial log reduction

Fraction of bacterial load: Pn 

0.8 Pn [-]

Twice/day plasma treatment • Short-term effect: 99% direct reduction (R) • Long-term effect: 90 min doubling time (kp)

normalized variables

1.0

[-]

3.0

3.5

0.8

3 2.5

0.6

2

0.4

1.5 0.2 1

1.0 0.5 0.0 0.0

0.5

1.0 position [cm]

1.5

2.0

99% reduction + 90 min doubling

CONCLUDING REMARKS  We developed a 6-species mechano-chemical wound healing model with plasma sterilization effects. In our model, the reduction of bacterial load increases oxygen concentration in wound and promote the healing process.  We proposed that gas plasma treatment of wound has two effects: the initial reduction of bacterial load (short-term effect) and the delay of bacterial growth rate (long-term effect).  The present results suggest several important directions for coupling plasma models with models of tissue biochemical responses.

40

60

80

100

120

140

0

Doubling time of bacteria [min] (slow healing)

REFERENCES [1] G. Isbary, et al., Br J Dermatol. 163 (2010) 78 [2] G. Morfill, et al., New J. Phys. 11 (2009) 115019 [3] M. Traylor, et al., J. Phys. D 44 (2011) 472001 [4] T. Nosenko, et al., New J. Phys. 11 (2009) 115013 [5] M. Pavlovich, et al., Plasma Process. Polym. (submitted) [6] J. A. Flegg, et al., Bull. Math. Biol. 72 (2010) 1867 [7] M. Orazov, et al., J. Phys. D (submitted)

references concluding remarks model description ... - GravesLab

[2-5] In order to investigate the short- and long-term antimicrobial ... chemotaxis. • Fibroblasts: f. 1. 2. 6. 17. 2. (. ) 1. (1 )(1 ). (1 ) f f f fc f f f a c c e a k k. D t κ-. ⎛. ⎞.

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